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https://www.nationalacademies.org/trb/events

Evaluation of Cybersecurity Risks in Smart City Environments

"Cooperative-automated driving systems (C-ADS) represent a critical advancement in connected autono-mous vehicles, potentially alleviating traffic congestion and enhancing safety through vehicle-to-every-thing (V2X) communication. However, ensuring robust and secure operation of C-ADS in complex traffic scenarios, particularly at smart intersections and highway on-ramps, remains a significant challenge. This project aims to develop advanced cooperative control algorithms that maintain operational safety and resilience in cybersecurity threats, sensor noises, and GPS-denied conditions. Building on our prior work, we have developed a cyber-resilient safety controller capable of handling attacks on GPS and V2X communication channels, validated through comprehensive numerical simulations. Additionally, we de-signed a novel localization algorithm tailored for GPS-denied environments, which has been tested in real-world settings. In the next phase of this project, we will focus on the following components: • Robustness Enhancement: We will emphasize making the safety controller more robust and improv-ing its ability to keep working safely even when the vehicle faces noisy data. The controller will be ex-tended with a confidence-aware mechanism, dynamically changing its aggressiveness according to input reliability. The goal is to make the controller not only safe under normal conditions but also reli-able when things go wrong. • Integration and Simulation: The safety controller and the localization algorithm will be integrated and evaluated via numerical simulations using the dSPACE simulation environment. dSPACE offers a high-fidelity testing platform that incorporates realistic vehicle dynamics and sensor models, ena-bling meaningful assessment of the integrated system’s performance in near-real-world scenarios. This phase ensures the controller's compatibility with GPS-denied environments and assesses its readiness for practical deployment. • Cooperative Avoidance Experiment: We will conduct a cooperative vehicle avoidance experiment in-volving a real vehicle and a virtual vehicle in a controlled parking lot setting. The two agents will ex-change Position and velocity information to assess the controller’s cooperative behavior and safety performance in a mixed-reality setup. • Closed-Track Field Testing: The final phase will transition to closed-loop testing at the Transportation Research Center (TRC), a premier automotive testing facility. Using the smart intersection infrastruc-ture at TRC, we will evaluate the performance of the integrated safety controller under controlled but realistic disturbances to GPS and V2X signals. These experiments aim to validate the system’s robust- ness and cooperative capabilities under adversarial conditions."

Language

  • English

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Filing Info

  • Accession Number: 01901375
  • Record Type: Research project
  • Source Agency: Center for Automated Vehicle Research with Multimodal Assured Navigation
  • Contract Numbers: 69A3552348327
  • Files: UTC, RIP
  • Created Date: Dec 4 2023 5:07PM